Every Research Area Has a Computational Angle. We Find It.
Tell us what you're curious about. Any stage of idea works. We translate your research idea into relevant Shadow Projects, standalone computational tasks that reflect the core technical challenges in your research area.
We design a clear blueprint that organizes your Shadow Projects into a buildable plan. Each Shadow Project builds skills, tests feasibility, and give potential mentors concrete work to demonstrate their expertise.
You review the full set of Shadow Projects. Each includes a clear goal, suggested tools, and success criteria. You may request up to two rounds of revision. Once approved, the blueprint is yours to execute.
We build a pool of prescreened mentors aligned to your Shadow Projects. Before you commit, you receive vetting questions to confirm each mentor’s expertise for your specific tasks. Hire mentors directly, with no markup and no long-term obligation. See how we evaluate.
Each Shadow Project includes clear structure, starter code, and an evaluator that provides actionable feedback. You can build independently or bring in expert help when it matters. Your research idea remains entirely yours; the Shadow Projects are your practice field. View a sample Shadow Project.
Note: Shadow Projects are shared for mentor vetting. Your project blueprint and ideas remain private.
Parse FASTA files, implement basic sequence alignment, and compare genetic sequences programmatically.
Design experiments, run significance tests, and interpret p-values on biological datasets.
Build tree data structures from evolutionary data and render interactive phylogenetic diagrams.
Query public databases like NCBI via APIs, filter results, and build a local resistance gene catalog.
Public API data ingestion, time-series analysis, geographic mapping, and health impact modeling.
Pull real-time and historical data from public APIs (EPA, OpenAQ), clean it, and store it in a structured format for analysis.
Work with temporal data, apply smoothing techniques, and detect pollution spikes automatically.
Plot geographic data on a map, layer heatmaps for air quality, and build an interactive web dashboard.
Join air quality data with health datasets, run correlation analysis, and build basic regression models.
Survey design and deployment, sentiment analysis of responses, statistical correlation, and IRB-compliant data handling.
Build web-based survey forms, collect responses, and store structured data for analysis.
Classify text responses by emotional tone using NLP libraries and pre-trained sentiment models.
Compute correlations between survey variables, test significance, and visualize relationships interactively.
Detect PII in datasets, apply anonymization techniques, and implement IRB-compliant data handling.
RAG architecture for math concept retrieval, progress tracking, and personalized problem generation.
Master API integration, parameter tuning, and prompt design for text summarization using GPT and spaCy as a baseline.
Embed math textbook excerpts, store them as vectors, and retrieve the most relevant passage given a question.
Build a chatbot UI that maintains conversation history and sends it as context so the bot remembers prior messages.
Generate math questions at varying difficulty and adjust the next question based on whether the answer was correct.
AIVIA Labs: 50+ Project Frameworks
We've already architected dozens of computational projects. Pick one to customize, or we'll generate something entirely new for your research.
Each includes methodology, architecture, and access to task-ready mentors pre-screened on these domains. Your dashboard automatically provides 3-5 live verification questions for instant technical confirmation.
Designed for serious student research and competitive science fairs.
The AIVIA Difference
We match mentors to your project, not the other way around.
Our Shadow Project approach is proven. It is the same project building methodology used across STEM-Away's Virtual Internship programs to support thousands of students. We are now applying that proven system to science competitions and college-ready technical work.
What is different? This is standalone project mentorship, not a Virtual-Internship. You receive project scoping and mentor access, then build at your own pace.